The application of Artificial Intelligence in Cybersecurity is evolving as more organizations adopting new and innovative techniques. Read on to know how AI can transform cybersecurity practices…
Enterprises have progressed from safeguarding thousands to perhaps millions of digital devices. There are billions of time-varying signals in the form of digital data in this new increase of network traffic, all of which must be analysed to identify the threats.
Because of frequent and automated cyberattacks, security is getting incredibly more complex in just a few years. In addition to this, malicious hackers have also added components of Artificial Intelligence to their arsenal and upgraded their attack strategies. For instance, cyber-criminals used AI-based software to imitate a CEO’s voice to command a cash transfer of €220,000 which is roughly $243,000, just last year.
When it comes to integrating Artificial Intelligence (AI) based processes into cybersecurity, it’s no longer optional; in-fact it has become a necessity and mission critical for businesses of all kinds and sizes. By adopting Artificial Intelligence tools, organisations can be better prepared for the novel attacks that hackers continue to develop, including those that use AI technologies.
Enhancing Cybersecurity through AI
The following are some of the ways in which cybersecurity capabilities can be enhanced by using Artificial Intelligence and Machine Learning (ML) technologies
Threat Hunting
This is one of the common feature which is offered by some the vendors. Cyber-threats can be mitigated through automated threat scanning, i.e. taking a proactive rather than reactive approach. Automated threat scanning does more than just monitor endpoints for known intrusions. It is about actively monitoring data traffic in order to detect not only known patterns but also potential threats. The traditional approach of signature-based detection does not offer complete protection limiting its effectiveness to known threats. Automated threat scanning, on the other hand offers greater efficiency by scanning for unknown threats. Several vendors also offer the hybrid solution of signature-based detection for the conventional scanning and AI-based pattern analysis for the advanced threat detection.
Cyber Risk Prediction
AI-based solutions can anticipate how and where you are most likely to be compromised based on IT asset inventory, threat exposure, and controls effectiveness, allowing you to allocate resources and tools to areas of weak points of security. Prescriptive insights gained from AI analysis can assist you in configuring and improving controls and processes to improve your organization’s cyber resilience.
Validating Potential Risks & AI Technology
Organisations should assess the potential risks associated and AI technologies before incorporating them into products. Organisations must also see to it that AI applications and related ML systems should be evaluated in terms of the application of security process such as monitoring and testing.
In other words, it’s all about prioritising offensive research on AI systems to detecting unknown threats as well as checking for unforeseen AI flaws that may have gone unnoticed.
Embedding Privacy Factors
Although Artificial Intelligence and Machine Learning and becoming increasingly popular, the privacy issues have yet to be fully investigated. Business and InfoSec leaders should recognize the issues that come with incorporation of AI and ML technologies and devise solutions that improve cybersecurity systems while being ethical and securing personal data.
As the risk of privacy breaches grows, there is a greater need for privacy-preserving machine learning systems to be used and developed. When it comes to integrating AI and ML technologies into cybersecurity programs, using AI responsibly, supporting threat modelling, and continuing AI research, as well as adhering to clear, public guidelines, are all necessary measures.
Conclusion
Artificial Intelligence and Machine Language has emerged as necessary tools for enhancing the work of human information security teams in recent years. Because humans can no longer secure the dynamic attack surface effectively, AI and ML offers advanced and automated analysis and threat detection that can be used by security professionals to minimise the risk of data breach and enhance security posture.
As more firms implement new and innovative strategies, the future of Artificial Intelligence in technology and cybersecurity will only continue to advance in future.